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Elastly is pricing intelligence for companies that sell at scale. It connects to the system you already run on, learns what your prices should be from your real costs, customers, and sales, and recommends a price for every product. You see the reasoning behind each one, and nothing reaches a customer until you approve it.
Four steps: connect your data, Elastly builds a price, you review, prices apply.

From your data to a live price, with you in the loop at every step.

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How a price gets built

Elastly does not guess a number. It builds one, a step at a time, and every step is visible. It starts with a base margin for the product’s category. Then it adds adjustments for the things that genuinely change the right price: who the customer is, where they are, what terms they are on, whether your cost is trending up, and how demand is moving. Each adjustment is a labelled step with its own size, so a price is a stack of reasons you can read, not a black box. Then your guardrails clamp it. A margin floor it can never dip below, an optional ceiling, a limit on how far a price can move at once, and your rounding. The recommendation tells you which guardrail had the final say.
This is additive margin stacking, not elasticity modelling. Elastly does not try to fit a demand curve to your catalog. It starts from a margin you chose and adjusts it for reasons you can name.

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It learns from what actually sold

When a quote is won or lost, Elastly nudges the margin for that customer and product by a small, careful amount. Sell more, and the pricing gets sharper. The learning is bounded by the same guardrails as everything else, so it can tighten your pricing without ever surprising you.

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Nothing changes until you say so

Elastly queues only the products whose price should move. Each one arrives with its reason and the drivers behind it. You approve or reject, or you let prices apply on their own once they are safely inside your guardrails. Every change is recorded, so you can track realized margin over time.

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Start here

Quickstart

Connect a source, set your guardrails, and get to your first recommendation.

Connectors

How NetSuite, Shopify, BigCommerce, and WooCommerce sync into canonical data.

Pricing strategies

How the margin stack is assembled, and how strategies shape it.

Guardrails & rules

The limits a recommended price can never cross.

Explainability

What travels with every recommendation, and how to read it.

API reference

Ask for a customer- and quantity-specific price, with the reason stack attached.